Use of generalized linear mixed models in analyzing mutant frequency data from the transgenic mouse assay
✍ Scribed by Karen Y. Fung; Xihong Lin; Daniel Krewski
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 69 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0893-6692
No coin nor oath required. For personal study only.
✦ Synopsis
The transgenic mouse assay is now widely used for ent sources of variation in the data can be evaluthe study of mutagenesis in diverse rodent tissues ated in nested factorial experiments and treatment and to test chemicals for genotoxic potential. This effects can be assessed simultaneously. It avoids kind of assay generally involves nested observa-the current practice of repeated testing for excess tions at several levels of sampling, e.g., animals, binomial variability at each level of the sampling packaging reactions, and plates. Due to the com-hierarchy and aggregating data up the levels, but mon origin, the mutant frequency (MF) in tissues fits the data with one single model. Parameters asfrom the same animal are likely to be positively sociated with the fixed effects, particularly dose, correlated, inducing extra variation relative to the and the variance components for the random effects common binomial variation. In this article, a gener-(e.g., animals, packages, and plates) can be estialized linear mixed model is used to analyze the mated and tested for significance. Data previously overdispersed binomial data on mutant frequency reported in the literature involving the lacI gene from the transgenic mouse assay, with a random from the Big Blue TM mouse are used to illustrate the effect for each level of the sampling hierarchy. This proposed method.